Description : Which algorithm is used for solving temporal probabilistic reasoning? a) Hill-climbing search b) Hidden markov model c) Depth-first search d) Breadth-first search
Last Answer : b) Hidden markov model
Description : 25. Operations Research models in which some or all values of variables are random in nature are called _____ a. Physical b. Symbolic c. Deterministic d. Probabilistic
Last Answer : d. Probabilistic
Description : Which of the following is true in Statistical reasoning? a) The representation is extended to allow some kind of numeric measure of certainty to be associated with each statement b) The ... extended to allow some kind of numeric measure of certainty to be associated common to all statements
Last Answer : a) The representation is extended to allow some kind of numeric measure of certainty to be associated with each statement
Description : How many types of random variables are available? a) 1 b) 2 c) 3 d) 4
Last Answer : c) 3
Description : What is viewed as problem of probabilistic inference? a) Speech recognition b) Speaking c) Hearing d) Utterance
Last Answer : a) Speech recognition
Description : What is needed to make probabilistic systems feasible in the world? a) Reliability b) Crucial robustness c) Feasibility d) None of the mentioned
Last Answer : b) Crucial robustness
Description : Fuzzy Computing A . mimics human behaviour B. doesnt deal with 2 valued logic C. deals with information which is vague, imprecise, uncertain, ambiguous, inexact, or probabilistic D . All of the above
Last Answer : D . All of the above
Description : Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query
Last Answer : d) Answering probabilistic query
Description : What are the tasks in probabilistic language model?
Last Answer : i. Information retrieval ii. Information Extraction iii. Machine Translation
Description : The rule of Universal Instantiation (UI for short) says that we can infer any sentence obtained by substituting a ground term (a term without variables) for the variable. a) True b) False
Last Answer : a) True
Description : Which form of reasoning is the process of drawing a specific conclusion from a set of premises? a. Rationalism b. Deductive Reasoning c. Inductive Reasoning d. Probabilistic
Last Answer : b. Deductive Reasoning
Description : Stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphil1 move. a) True b) False
Description : Operations Research models in which values of all variables and all possible outcomes are known with certainty are called _____ a. Physical b. Symbolic c. Deterministic d. Probabilistic
Last Answer : c. Deterministic
Description : The explanation facility of an expert system may be used to ____________ a) construct a diagnostic model b) expedite the debugging process c) explain the system’s reasoning process d) explain the system’s reasoning process & expedite the debugging process
Last Answer : d) explain the system’s reasoning process & expedite the debugging process
Description : The characteristics of the computer system capable of thinking, reasoning and learning are known as ____________ a) machine intelligence b) human intelligence c) artificial intelligence d) virtual intelligence
Last Answer : c) artificial intelligence
Description : Wumpus World is a classic problem, best example of _______ a) Single player Game b) Two player Game c) Reasoning with Knowledge d) Knowledge based Game
Last Answer : c) Reasoning with Knowledge
Description : Knowledge and reasoning also play a crucial role in dealing with __________________ environment. a) Completely Observable b) Partially Observable c) Neither Completely nor Partially Observable d) Only Completely and Partially Observable
Last Answer : b) Partially Observable
Description : Which is mainly used for automated reasoning? a) Backward chaining b) Forward chaining c) Logic programming d) Parallel programming
Last Answer : c) Logic programming
Description : A _________ is used to demonstrate, on a purely syntactic basis, that one formula is a logical consequence of another formula. a) Deductive Systems b) Inductive Systems c) Reasoning with Knowledge Based Systems d) Search Based Systems
Last Answer : a) Deductive Systems
Description : ART (Automatic Reasoning Tool) is designed to be used on __________ a) LISP machines b) Personal computers c) Microcomputers d) All of the mentioned
Last Answer : a) LISP machines
Description : The explanation facility of an expert system may be used to __________ a) construct a diagnostic model b) expedite the debugging process c) explain the system’s reasoning process d) expedite the debugging process & explain the system’s reasoning process
Last Answer : d) expedite the debugging process & explain the system’s reasoning process
Description : In 1960s, _____ pushed the logical formalism to integrate reasoning with knowledge. A. Marvin Minsky B. Alain Colmerauer C. John McCarthy D. None of above
Last Answer : A. Marvin Minsky
Description : Aristotle’s theory of syllogism and Descartes and kant’s critic of pure reasoning made knowledge on _____. A. Logic B. Computation logic C. Cognition logic D. All of above
Last Answer : A. Logic
Description : The characteristics of the computer system capable of thinking, reasoning and learning is known is A. machine intelligence B. human intelligence C. artificial intelligence D. virtual intelligence
Last Answer : C. artificial intelligence
Description : Where does the additional variables are added in HMM? a) Temporal model b) Reality model c) Probability model d) All of the mentioned
Last Answer : a) Temporal model
Description : How the entries in the full joint probability distribution can be calculated? a) Using variables b) Using information c) Both Using variables & information d) None of the mentioned
Last Answer : b) Using information
Description : What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables
Last Answer : d) Probability distributions for Continuous variables
Description : Where does the degree of belief is applied? a) Propositions b) Literals c) Variables d) Statements
Last Answer : a) Propositions
Description : A Hybrid Bayesian network contains ___________ a) Both discrete and continuous variables b) Only Discrete variables c) Only Discontinuous variable
Last Answer : a) Both discrete and continuous variables
Description : What are present in each level of planning graph? a) Literals b) Actions c) Variables d) Both Literals & Actions
Last Answer : d) Both Literals & Actions
Description : Which is unique up to renaming of variables? a) Unifier b) Most general unifier c) Unifier & Most general unifier d) None of the mentioned
Last Answer : b) Most general unifier
Description : What is the process of capturing the inference process as a single inference rule? a) Ponens b) Clauses c) Generalized Modus Ponens d) Variables
Last Answer : c) Generalized Modus Ponens
Description : Which will be the instance of the class datalog knowledge bases? a) Variables b) No function symbols c) First-order definite clauses d) None of the mentioned
Last Answer : b) No function symbols
Description : What is the condition of variables in first-order literals? a) Existentially quantified b) Universally quantified c) Both Existentially & Universally quantified d) None of the mentioned
Last Answer : b) Universally quantified
Description : What kind of clauses are available in Conjunctive Normal Form? a) Disjunction of literals b) Disjunction of variables c) Conjunction of literals d) Conjunction of variables
Last Answer : a) Disjunction of literals
Description : Which is a refutation complete inference procedure for propositional logic? a) Clauses b) Variables c) Propositional resolution d) Proposition
Last Answer : c) Propositional resolution
Description : Define runtime variables.
Last Answer : Plans to gather and use information are represented using short hand Notation called runtime variables (n). Example [Look up (Agent, “Phone number (Divya)”.N), Dial (n)]
Description : Structuring and combining the primitives of the solid model in the graphics database,is achieved by the use of….. a.FEA b.transformations c.boolean operations d.none of the above
Last Answer : c.boolean operations
Description : In the following geometric primitives. which is not a solid entity of CSG modelling: a.Box b.Cone c.Cylinder d.Circle
Last Answer : d.Circle
Description : Who called larger colloidal particles of primitives sea as coacervates :
Last Answer : Who called larger colloidal particles of primitives sea as coacervates : A. Fox B. Oparin C. Empedcles D. Haldane
Description : Which of the following graphic primitives are considered as the basic building blocks of computer graphics ? (a) Points (b) Lines (c) Polylines (d) Polygons Codes : (A) (a) only (B) (a) and (b) (C) (a), (b) and (c) (D) (a), (b), (c) and (d)
Last Answer : Answer: B
Description : Which variable can give the concrete form to the representation of the transition model? a) Single variable b) Discrete state variable c) Random variable d) Both Single & Discrete state variable
Last Answer : d) Both Single & Discrete state variable
Description : How does the state of the process is described in HMM? a) Literal b) Single random variable c) Single discrete random variable d) None of the mentioned
Last Answer : c) Single discrete random variable
Description : What is the basic element of a language? a) Literal b) Variable c) Random variable d) All of the mentioned
Last Answer : c) Random variable
Description : What are the two main features of Genetic Algorithm? a) Fitness function & Crossover techniques b) Crossover techniques & Random mutation c) Individuals among the population & Random mutation d) Random mutation & Fitness function
Last Answer : a) Fitness function & Crossover techniques
Description : __________ algorithm keeps track of k states rather than just one. a) Hill-Climbing search b) Local Beam search c) Stochastic hill-climbing search d) Random restart hill-climbing search
Last Answer : b) Local Beam search
Description : Which is the best way to go for Game playing problem? a) Linear approach b) Heuristic approach (Some knowledge is stored) c) Random approach d) An Optimal approach
Last Answer : b) Heuristic approach (Some knowledge is stored)
Description : Which of the following statements is true? A. PERT is considered as a deterministic approach and CPM is a probabilis t ic techniques. B. PERT is considered as a probabilistic techniques ... and CPM are both probabilistic techniques. D. PERT and CPM are both considered as deterministic approachs
Last Answer : B. PERT is considered as a probabilistic techniques and CPM is considered as a deterministic approach